NaiveBayes

class capymoa.classifier.NaiveBayes

Bases: MOAClassifier

Naive Bayes incremental learner. Performs classic Bayesian prediction while making the naive assumption that all inputs are independent. Naive Bayes is a classifier algorithm known for its simplicity and low computational cost. Given n different classes, the trained Naive Bayes classifier predicts, for every unlabeled instance I, the class C to which it belongs with high accuracy.

Parameters:

• schema – The schema of the stream, defaults to None.

• random_seed – The random seed passed to the MOA learner, defaults to 0.

__init__(

schema: Schema | None = None,

random_seed: int = 0,

)

CLI_help()

predict(instance)

predict_proba(instance)

train(instance)